{"id":"W4224078039","doi":"10.3390/signals3020013","title":"XBeats: A Real-Time Electrocardiogram Monitoring and Analysis System","year":2022,"lang":"en","type":"article","venue":"Signals","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Ontario Tech University","funders":"","keywords":"Computer science; Real-time computing; Anomaly detection; Usability; Artificial intelligence; Embedded system; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040772,0.0001344867,0.0005471109,0.0004909111,0.0002897078,0.0000348038,0.00007554391,0.00003563913,0.0001000473],"category_scores_gemma":[0.00001964372,0.0001270238,0.0003382802,0.001580552,0.00001920772,0.00003345017,0.0000704956,0.0001842012,0.00001331909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548989,"about_ca_system_score_gemma":0.00003251326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002621887,"about_ca_topic_score_gemma":2.885723e-7,"domain_scores_codex":[0.9986128,0.0001278118,0.0002390858,0.0003199721,0.0004257553,0.0002746042],"domain_scores_gemma":[0.9993345,0.00007422168,0.00008145283,0.0002999852,0.0000597429,0.0001501613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001478921,0.0001423357,0.705556,0.000172215,0.009858601,0.0003549416,0.0005279847,0.001681881,0.2726832,0.00004016008,0.0005367034,0.008298027],"study_design_scores_gemma":[0.009503147,0.006242285,0.5120826,0.001089446,0.1258382,0.001392327,0.0295725,0.1039842,0.1897526,0.0002584934,0.01624853,0.004035605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924966,0.001488808,0.0002751468,0.0001233987,0.00008371466,0.0001500501,0.00001314396,0.0002709814,0.005098131],"genre_scores_gemma":[0.9966248,0.0001153617,0.0004949906,0.00001144091,0.0003307627,0.00007231503,0.00002461479,0.00002025868,0.002305448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1934734,"threshold_uncertainty_score":0.5179882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037488842442283,"score_gpt":0.2637183306162828,"score_spread":0.25334344219186,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}